Machine Learning Engineer Manager

Zoom is hiring a full-time Machine Learning Engineer Manager based in Seattle (WA). This opportunity is designed for candidates seeking Machine Learning Engineer Manager jobs in Seattle (WA) who want to lead impactful technical work in a dedicated office setting.

About the Role

The Machine Learning Engineer Manager role at Zoom in Seattle (WA) centers on directing engineering talent and shaping advanced model development efforts. You will set technical direction for projects that apply machine learning techniques to real operational challenges while building a cohesive, high-performing team. This full-time position suits professionals searching for Machine Learning Engineer Manager near me opportunities who excel at bridging leadership and hands-on machine learning expertise in the Seattle (WA) area. Success means driving clear outcomes through thoughtful architecture choices, rigorous experimentation, and close coordination with adjacent groups.

Responsibilities

• Direct day-to-day work of machine learning engineers, assigning priorities and removing roadblocks to keep deliverables on track.
• Architect and oversee the complete lifecycle of machine learning systems from data preparation through training, validation, and production rollout.
• Partner with product, data science, and platform stakeholders to surface problems best solved by machine learning and translate needs into executable roadmaps.
• Define coding standards, evaluation metrics, and monitoring practices that maintain model quality and reliability at scale.
• Mentor individual contributors, conduct performance discussions, and create growth paths that strengthen overall team capability.
• Evaluate emerging techniques and frameworks, then advocate for adoption when they demonstrably improve results.
• Report progress, risks, and resource needs to senior leadership with clear, data-backed recommendations.

Qualifications

• Substantial background as a machine learning engineer culminating in people-management experience.
• Deep working knowledge of supervised, unsupervised, and modern neural approaches plus the practical trade-offs of each.
• Hands-on fluency with Python and at least one major framework such as TensorFlow or PyTorch.
• Proven skill guiding remote or co-located engineers toward shared technical goals.
• Strong verbal and written communication that translates complex concepts for both technical and non-technical audiences.
• Bachelor’s degree in computer science, engineering, statistics, or a closely related field, or equivalent professional track record.
• Demonstrated ability to ship production-grade machine learning services that meet latency, accuracy, and reliability targets.

Working at Zoom

Zoom is hiring for this role and offers a supportive team environment.

How to Apply

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.